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510(k) Data Aggregation

    K Number
    K152270
    Date Cleared
    2015-11-13

    (94 days)

    Product Code
    Regulation Number
    872.3760
    Panel
    Dental
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Smiletone® (denture base resin) is a thermoplastic resin that is intended to be used in fabrication of removable full and partial dental prosthesis, as well as occlusal splints and night guards. The product is based on a compounded mixture of polyamide and pigments.

    Device Description

    Smiletone® is a thermoplastic material to be used for removable full or partial dental prosthesis. The product is based on a compounded mixture of Polyamide and pigments. Smiletone® is classified as 'Type 3-thermoplastic blank or powder' by EN ISO 20795-1[2013].

    AI/ML Overview

    The provided document describes the 510(k) premarket notification for the Smiletone® denture base resin, not a device with AI or machine learning components. Therefore, many of the requested categories related to AI/ML device studies (such as multi-reader multi-case studies, effect size of AI assistance, expert qualifications for ground truth, adjudication methods, and training/test set sample sizes for algorithms) are not applicable.

    However, the document does contain information about performance testing and acceptance criteria for the material.

    Here's a summary of the available information based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document doesn't explicitly list "acceptance criteria" with numerical thresholds against which the device performance is reported. Instead, it states that "All test results were satisfactory" and indicates "Pass" for each test against various standards. The acceptance criteria are implied to be meeting the requirements of the specified standards (e.g., EN ISO 20795-1, ISO 10993 series).

    Test TitleTest StandardReported Device Performance (Acceptance Criteria Implicitly Met)
    Dentistry - Medical devices for dentistry - Materials testingEN 1641 (2010)Pass
    Accelerate aging testASTM F1980 (2002)Pass
    Visual InspectionPerformance test Guidance of dental materials (KFDA 2014)Pass
    Capacity testPerformance test Guidance of dental materials (KFDA 2014)Pass
    Packaging (Visual Inspection) testPerformance test Guidance of dental materials (KFDA 2014)Pass
    Surface characteristics testEN ISO 20795-1Pass
    Shape characteristics testEN ISO 20795-1Pass
    Color testEN ISO 20795-1Pass
    Color Stability testEN ISO 20795-1Pass
    Translucency testEN ISO 20795-1Pass
    Freedom from porosity testEN ISO 20795-1Pass
    Bonding to synthetic polymer teeth testEN ISO 20795-1Pass
    Residual Monomer testEN ISO 20795-1Pass
    Sorption testEN ISO 20795-1Pass
    Solubility testEN ISO 20795-1Pass
    Ultimate flexural strength testEN ISO 20795-1Pass
    Genotoxicity test: BACTERIAL REVERSE MUTATION STUDY (AMES)ISO 10993-3 & OECD 471 Bacterial Reverse Mutation TestPass
    Cytotoxicity Test (Agar diffusion test)ISO7405:2008Pass
    Acute Systemic Toxicity TestISO 10993-11Pass
    Maximization Sensitization Test (LLNA-BrdU)ISO 10993-10 & OECD 442B:2010Pass
    Oral mucosa irritation testISO10993-10:2010 Annex B.3Pass

    Note on Physical Properties (Specific Values from Predicate Comparison):
    While not explicitly stated as "acceptance criteria" for Smiletone, the comparison table ([6]) provides specific physical property values for Smiletone and its predicates. For Smiletone:

    • Flexural strength: 68 ± 2 MPa
    • Flexural modulus: 1389 ± 35 MPa
    • Water absorption: 30.7 ± 0.2 µg/mm²
    • Water solubility: 0.33 ± 0.1 µg/mm²

    These values would implicitly need to meet certain ranges or be comparable to the predicates as part of the overall demonstration of substantial equivalence.

    2. Sample size used for the test set and the data provenance

    The document does not specify the sample sizes used for each of the physical, chemical, and biological tests. It states that tests were performed according to standards (e.g., ISO, ASTM, OECD, KFDA guidance), which typically include requirements for sample size and testing methodology.

    The data provenance is not explicitly stated in terms of country of origin of the data, but the testing appears to have been conducted based on international standards (ISO, ASTM, OECD) and a Korean FDA (KFDA) guidance, suggesting either international or Korean testing laboratories. The KFDA guidance implies the reporting entity and potentially the data origin is from Korea. The tests are prospective in the sense that they were conducted specifically for this submission.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    Not applicable. This is a material testing study, not an AI/ML device requiring clinical expert ground truth for interpretation.

    4. Adjudication method for the test set

    Not applicable. This is a material testing study.

    5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    Not applicable. This is a material testing study.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    Not applicable. This is a material testing study.

    7. The type of ground truth used

    The "ground truth" for the material testing is based on objective measurements and compliance with established international and national standards for denture base resins (e.g., EN ISO 20795-1 for physical properties, ISO 10993 series and OECD guidelines for biocompatibility). The results are quantitative measurements or qualitative observations (e.g., visual inspection) evaluated against predefined specifications within the standards.

    8. The sample size for the training set

    Not applicable. This is a material testing study, not an AI/ML device that requires a training set.

    9. How the ground truth for the training set was established

    Not applicable. This is a material testing study.

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